Machine Learning with Python

  1. Model Deployment and MLOps
    1. Model Persistence
      1. Serialization Methods
        1. Pickle Format
          1. Python Object Serialization
            1. Version Compatibility
              1. Security Considerations
              2. Joblib Format
                1. Scikit-learn Optimization
                  1. Compression Benefits
                  2. Framework-Specific Formats
                    1. TensorFlow SavedModel
                      1. PyTorch State Dictionaries
                        1. ONNX Format
                      2. Model Versioning
                        1. Version Control Systems
                          1. Model Registry
                            1. Metadata Management
                          2. Web API Development
                            1. Flask Framework
                              1. Application Structure
                                1. Route Definition
                                  1. Request Handling
                                    1. JSON Serialization
                                    2. FastAPI Framework
                                      1. Automatic Documentation
                                        1. Type Hints
                                          1. Async Support
                                            1. Validation
                                            2. API Design Principles
                                              1. RESTful Design
                                                1. Input Validation
                                                  1. Error Handling
                                                    1. Response Formatting
                                                    2. API Testing
                                                      1. Unit Testing
                                                        1. Integration Testing
                                                          1. Load Testing
                                                        2. Containerization
                                                          1. Docker Fundamentals
                                                            1. Container Concepts
                                                              1. Images vs Containers
                                                                1. Docker Architecture
                                                                2. Dockerfile Creation
                                                                  1. Base Image Selection
                                                                    1. Dependency Installation
                                                                      1. Application Setup
                                                                        1. Port Exposure
                                                                        2. Container Management
                                                                          1. Building Images
                                                                            1. Running Containers
                                                                              1. Volume Mounting
                                                                                1. Environment Variables
                                                                                2. Docker Compose
                                                                                  1. Multi-container Applications
                                                                                    1. Service Definition
                                                                                      1. Network Configuration
                                                                                    2. Cloud Deployment
                                                                                      1. Cloud Platforms
                                                                                        1. AWS Services
                                                                                          1. Google Cloud Platform
                                                                                            1. Microsoft Azure
                                                                                            2. Serverless Deployment
                                                                                              1. Function as a Service
                                                                                                1. Event-driven Architecture
                                                                                                  1. Cost Optimization
                                                                                                  2. Container Orchestration
                                                                                                    1. Kubernetes Basics
                                                                                                      1. Pod Management
                                                                                                        1. Service Discovery
                                                                                                      2. MLOps Practices
                                                                                                        1. Continuous Integration
                                                                                                          1. Automated Testing
                                                                                                            1. Code Quality Checks
                                                                                                              1. Model Validation
                                                                                                              2. Continuous Deployment
                                                                                                                1. Deployment Pipelines
                                                                                                                  1. Blue-Green Deployment
                                                                                                                    1. Canary Releases
                                                                                                                    2. Model Monitoring
                                                                                                                      1. Performance Monitoring
                                                                                                                        1. Accuracy Tracking
                                                                                                                          1. Latency Monitoring
                                                                                                                            1. Throughput Measurement
                                                                                                                            2. Data Drift Detection
                                                                                                                              1. Statistical Tests
                                                                                                                                1. Distribution Comparison
                                                                                                                                  1. Alert Systems
                                                                                                                                  2. Model Drift Detection
                                                                                                                                    1. Prediction Drift
                                                                                                                                      1. Concept Drift
                                                                                                                                        1. Retraining Triggers
                                                                                                                                      2. Experiment Tracking
                                                                                                                                        1. Experiment Management
                                                                                                                                          1. Parameter Logging
                                                                                                                                            1. Result Comparison
                                                                                                                                              1. Reproducibility
                                                                                                                                              2. Model Governance
                                                                                                                                                1. Model Documentation
                                                                                                                                                  1. Compliance Requirements
                                                                                                                                                    1. Audit Trails
                                                                                                                                                      1. Risk Management

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                                                                                                                                                  8. Advanced Topics and Applications

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                                                                                                                                                  1. Foundations of Machine Learning and Python